Linear processes in stochastic population dynamics: Theory and application to insect development

We consider stochastic population processes (Markov jump processes) that develop as a consequence of the occurrence of random events at random time intervals. The population is divided into subpopulations or compartments. The events occur at rates that depend linearly on the number of individuals in...

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Detalles Bibliográficos
Autores principales: Solari, H.G., Natiello, M.A.
Formato: JOUR
Materias:
article
conformational transition
death
developmental stage
evolutionary rate
insect development
life cycle stage
linear system
nonhuman
Poisson distribution
population dynamics
pupation
stochastic model
algorithm
animal
insect
statistics
theoretical model
Algorithms
Animals
Insects
Models, Theoretical
Population Dynamics
Stochastic Processes
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_1537744X_v2014_n_p_Solari
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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